Listen "Algorithmic Content Recommendation with Editorial Judgment [NYTimes]"
Episode Synopsis
In this episode, we will explore how The New York Times balances algorithmic recommendations with editorial judgment. We discuss their business challenge, examine their hybrid content recommendation system, and look at refinements designed to improve the reader experience.For more details, you can refer to their published tech blog, linked here for your reference: https://open.nytimes.com/how-the-new-york-times-incorporates-editorial-judgement-in-algorithms-to-curate-home-screen-content-85f48209fdad
More episodes of the podcast Snacks Weekly on Data Science
Building AI Agents at Airtable [Airtable]
05/01/2026
Optimize Web Performance [Walmart]
08/12/2025
Improving Search Ranking for Maps [Airbnb]
24/11/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.